Being able to monitor player behaviors is of particular importance in gameful systems, which are dynamic by nature and require real-time interventions. In these contexts, the designer should be assisted to avoid delivering a static and monotonous experience. As a consequence, the game should be able to adapt to the player that is interacting with it, to give the best UX possible, and avoid an abandonment. The aim of this project is to gain insights on the impact the game has on players by analyzing how they interact with the system and with the community of players. The outcomes will give information on player experience and profile. In turn, this knowledge will lead and assist the generation of customized content for each player and continuously improves its generation strategy.
A Framework to Infer Player Experience and Inform Customized Content Generation in Gameful Systems
Enrica Loria
2019-01-01
Abstract
Being able to monitor player behaviors is of particular importance in gameful systems, which are dynamic by nature and require real-time interventions. In these contexts, the designer should be assisted to avoid delivering a static and monotonous experience. As a consequence, the game should be able to adapt to the player that is interacting with it, to give the best UX possible, and avoid an abandonment. The aim of this project is to gain insights on the impact the game has on players by analyzing how they interact with the system and with the community of players. The outcomes will give information on player experience and profile. In turn, this knowledge will lead and assist the generation of customized content for each player and continuously improves its generation strategy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
